Imagen de Portada

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yuan, Bo, Zhou, Yun, Xu, Zhichao, Ramnath, Kiran, Feng, Aosong, Srinivasan, Balasubramaniam
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
por: Kühmichel, Lars, et al.
Publicado: (2026)

BayesFlow: Learning complex stochastic models with invertible neural networks
por: Radev, Stefan T., et al.
Publicado: (2020)

Diffusion Language Model Inference with Monte Carlo Tree Search
por: Huang, Zheng, et al.
Publicado: (2025)

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
por: Feng, Aosong, et al.
Publicado: (2025)

GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
por: Li, Ao, et al.
Publicado: (2026)

AutoFlow: Automated Workflow Generation for Large Language Model Agents
por: Li, Zelong, et al.
Publicado: (2024)

Probability-Flow ODE in Infinite-Dimensional Function Spaces
por: Na, Kunwoo, et al.
Publicado: (2025)

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
por: Cortinovis, Stefano, et al.
Publicado: (2025)

Generalized Bayes for Causal Inference
por: Javurek, Emil, et al.
Publicado: (2026)

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
por: Narayanaswami, Sai Kiran, et al.
Publicado: (2024)

Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data
por: Biswas, Biplob, et al.
Publicado: (2024)

Developing a Multi-Modal Machine Learning Model For Predicting Performance of Automotive Hood Frames
por: Indupally, Abhishek, et al.
Publicado: (2025)

A Generic Framework for Conformal Fairness
por: Vadlamani, Aditya T., et al.
Publicado: (2025)

AutoBayes: A Compositional Framework for Generalized Variational Inference
por: Smithe, Toby St Clere, et al.
Publicado: (2025)

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models
por: Tang, Jiaqi, et al.
Publicado: (2025)

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
por: Wang, Zifeng, et al.
Publicado: (2023)

Meta Dynamic Graph for Traffic Flow Prediction
por: Zou, Yiqing, et al.
Publicado: (2026)

Understanding Generalization in Diffusion Distillation via Probability Flow Distance
por: Zhang, Huijie, et al.
Publicado: (2025)

Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
por: Nematirad, Reza, et al.
Publicado: (2025)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
por: Behboudi, Noushin, et al.
Publicado: (2024)

$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
por: Bao, Rui, et al.
Publicado: (2026)

FLUID: Flow-based Unified Inference for Dynamics
por: Cui, Tiangang, et al.
Publicado: (2026)

CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows
por: Kim, Hyeonjae, et al.
Publicado: (2025)

Collective Relational Inference for learning heterogeneous interactions
por: Han, Zhichao, et al.
Publicado: (2023)

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
por: Yuan, Yutao, et al.
Publicado: (2024)

MobiAgent: A Systematic Framework for Customizable Mobile Agents
por: Zhang, Cheng, et al.
Publicado: (2025)

Statistical Inference via Generative Models: Flow Matching and Causal Inference
por: Eguchi, Shinto
Publicado: (2026)

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
por: Riou, Charles, et al.
Publicado: (2023)

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
por: Liang, Hao, et al.
Publicado: (2025)

Optimizing Agentic Workflows using Meta-tools
por: Abuzakuk, Sami, et al.
Publicado: (2026)

BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
por: Zhou, Xu-Hui, et al.
Publicado: (2024)

Threshold-Guided Optimization for Visual Generative Models
por: Bai, Jinbin, et al.
Publicado: (2026)

$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation
por: Wei, Yuan, et al.
Publicado: (2025)

CARD: A Cache-Assisted Parallel Speculative Decoding Framework via Query-and-Correct Paradigm for Accelerating LLM Inference
por: Zhou, Enyu, et al.
Publicado: (2025)

A Generalized Unified Skew-Normal Process with Neural Bayes Inference
por: Wang, Kesen, et al.
Publicado: (2024)

Are Data Embeddings effective in time series forecasting?
por: Nematirad, Reza, et al.
Publicado: (2025)

SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting
por: Nematirad, Reza, et al.
Publicado: (2025)

The Manokhin Probability Matrix: A Diagnostic Framework for Classifier Probability Quality
por: Manokhin, Valery
Publicado: (2026)

Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics
por: Xu, Hao, et al.
Publicado: (2025)

Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
por: Gao, Xuefeng, et al.
Publicado: (2024)